Build High-Performance AI Pipelines with Real-Time Streaming and Cortex Code

AI applications like RAG and agentic workflows depend on fresh data to remain accurate. If your data is stale, your models will provide irrelevant insights. Real-time streaming is the essential foundation that powers these applications, ensuring they have the immediate context they need to function. With the next generation of Snowflake Snowpipe Streaming, you can now ingest up to 10 GB/s with 5–10 second latency, providing the high-performance backbone required to feed live event data directly into your AI pipelines at scale. And with Cortex Code, you can build and automate these pipelines using natural language right in your IDE

What You Will Learn:
 

• How to build a real-time, AI-powered application from the ground up that simplifies data integration and accelerates your pipeline projects
• Best practices to build High Performance AI Pipelines with Snowpipe Streaming
• How to automate the entire pipeline with Cortex Code skills

Join us to see how to bridge the gap between streaming data and AI to deliver faster, more reliable results.